Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 5 |
Descriptor
Dropouts | 5 |
Learner Engagement | 5 |
Graduation | 3 |
Academic Achievement | 2 |
Attendance | 2 |
Dropout Prevention | 2 |
High School Students | 2 |
Measures (Individuals) | 2 |
Psychometrics | 2 |
Academic Aptitude | 1 |
Academically Gifted | 1 |
More ▼ |
Source
Journal for the Education of… | 1 |
Journal of Psychoeducational… | 1 |
Professional School Counseling | 1 |
Reading & Writing Quarterly | 1 |
School Psychology Quarterly | 1 |
Author
Reschly, Amy L. | 5 |
Appleton, James J. | 3 |
Lovelace, Matthew D. | 3 |
Carter, Chandra P. | 1 |
Landis, Rebecca N. | 1 |
Lutz, Mary E. | 1 |
Thompson, Dianne | 1 |
Publication Type
Journal Articles | 5 |
Reports - Research | 3 |
Reports - Evaluative | 2 |
Information Analyses | 1 |
Education Level
High Schools | 3 |
Elementary Education | 2 |
Elementary Secondary Education | 2 |
Secondary Education | 2 |
Grade 3 | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Preschool Education | 1 |
Primary Education | 1 |
More ▼ |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lovelace, Matthew D.; Reschly, Amy L.; Appleton, James J. – Professional School Counseling, 2018
Early warning systems use school record data--such as attendance rate, behavior records, and course performance--to identify students at risk of dropping out. These are useful predictors of graduation-related outcomes, in large part because they indicate a student's level of engagement with school. However, these data do not indicate how invested…
Descriptors: Prediction, Dropouts, Learner Engagement, High School Students
Lovelace, Matthew D.; Reschly, Amy L.; Appleton, James J.; Lutz, Mary E. – Journal of Psychoeducational Assessment, 2014
The Student Engagement Instrument (SEI) is a self-report measure of cognitive and affective engagement with school. Prior SEI validation studies have focused primarily on construct validity through analyses of internal consistency, factor analysis, and measurement invariance. Results are presented here from a two-pronged study of the criterion…
Descriptors: Predictive Validity, Learner Engagement, Psychometrics, Measures (Individuals)
Landis, Rebecca N.; Reschly, Amy L. – Journal for the Education of the Gifted, 2013
The issue of high school dropout has long concerned policy makers, educational professionals, and the general public. In the gifted literature, this concern is no less pressing. Student engagement is becoming an increasingly discussed construct for conceptualizing the dropout phenomenon and designing appropriate interventions to prevent this…
Descriptors: Academically Gifted, Dropouts, Underachievement, Student Participation
Carter, Chandra P.; Reschly, Amy L.; Lovelace, Matthew D.; Appleton, James J.; Thompson, Dianne – School Psychology Quarterly, 2012
Early school withdrawal, commonly referred to as dropout, is associated with a plethora of negative outcomes for students, schools, and society. Student engagement, however, presents as a promising theoretical model and cornerstone of school completion interventions. The purpose of the present study was to validate the Student Engagement…
Descriptors: Learner Engagement, Dropout Prevention, Dropouts, Academic Achievement
Reschly, Amy L. – Reading & Writing Quarterly, 2010
This article argues that reading interventions are a key dropout prevention strategy. A review of the literature connects reading skills and interventions with events such as grade retention, placement in special education, and high school dropout. In general, data indicate that intensive early interventions positively affect students' reading…
Descriptors: Reading, Early Intervention, Graduation, High Schools